Evidence map›Paper›PMID 42335144›Full record

ArticleJournal of diabetes science and technology2026

Automated Insulin Delivery Use Among Preschool-Age Children With Type 1 Diabetes: A T1D Exchange Multicenter Analysis.

Risa M Wolf, Emma Ospelt, Dhruvi Vora, Ori Odugbesan, Elizabeth A Brown, Jenise C Wong, Christine A March, Nestoras Mathioudakis

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Risa M WolfDivision of Pediatric Endocrinology, Johns Hopkins Medicine, Baltimore, MD, USA.ORCID 0000-0001-7674-520X
Emma OspeltT1D Exchange, Boston, MA, USA.ORCID 0000-0002-4723-001X
Dhruvi VoraT1D Exchange, Boston, MA, USA.
Ori OdugbesanT1D Exchange, Boston, MA, USA.
Elizabeth A BrownDivision of Pediatric Endocrinology, Johns Hopkins Medicine, Baltimore, MD, USA.
Jenise C WongDivision of Endocrinology, Department of Pediatrics, University of California San Francisco, USA.ORCID 0000-0003-0573-6650
Christine A MarchDivision of Pediatric Endocrinology, UPMC Children's Hospital of Pittsburgh, PA, USA.ORCID 0000-0002-5141-0427
Nestoras MathioudakisDivision of Endocrinology, Diabetes and Metabolism, Johns Hopkins Medicine, Baltimore, MD, USA.ORCID 0000-0002-0210-655X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUse of automated insulin delivery (AID) systems has increased in people with type 1 diabetes (T1D); however, real-world data in preschool-age children remain limited. In this multicenter analysis, we assess real-world glycemic outcomes in preschool-age children using AID systems compared with those using multiple daily injections (MDIs).

methodsThis retrospective, multicenter, cross-sectional analysis assessed current usage of AID systems and glycemic outcomes in preschool-age children ≤6 years across 37 pediatric sites in the T1D Exchange Quality Improvement Collaborative (T1DX-QI). Differences in AID use and HbA1c were evaluated using

resultsIn this cohort of 3521 youth ≤6 years, the mean age was 4.6 (1.4), 47% female, 53% non-Hispanic white, 12% non-Hispanic black, and 14% Hispanic, and 31% with public insurance. Of these, 48% were using AID for insulin management with a mean HbA1c of 7.9% (1.7), compared with 52% using MDI with a mean HbA1c of 8.8% (2.2),

conclusionsReal-world use of AID systems in preschool-age children (≤6 years of age) is associated with lower A1c levels and greater potential to achieve the American Diabetes Association (ADA) A1c target range of <7%.

Indexed as

automated insulin delivery (AID)childrenpreschoolT1D Exchange Quality Improvement Collaborative (T1DX-QI)type 1 diabetes (T1D)

Identifiers

PMID42335144
PMCPMC13290746

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.